/**
 * @program: malll
 * @description:
 * @author: Mr.Xu
 * @create: 2021-02-03 21:47
 **/

package com.bobo.mall.search.service.impl;

import com.alibaba.fastjson.JSON;
import com.bobo.common.to.es.SkuEsModel;
import com.bobo.common.utils.Query;
import com.bobo.mall.search.config.MallElasticSearchConfig;
import com.bobo.mall.search.constant.ESConstant;
import com.bobo.mall.search.service.MallSearchService;
import com.bobo.mall.search.vo.SearchParam;
import com.bobo.mall.search.vo.SearchResult;
import org.apache.commons.lang.StringUtils;
import org.apache.lucene.search.join.ScoreMode;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.index.query.BoolQueryBuilder;
import org.elasticsearch.index.query.NestedQueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.query.RangeQueryBuilder;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.aggregations.Aggregation;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.nested.NestedAggregationBuilder;
import org.elasticsearch.search.aggregations.bucket.nested.ParsedNested;
import org.elasticsearch.search.aggregations.bucket.terms.*;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightField;
import org.elasticsearch.search.sort.SortOrder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;

import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
import java.util.stream.Collectors;

@Service
public class MallSearchServiceImpl implements MallSearchService {


    @Autowired(required = false)
    private RestHighLevelClient client;

    @Override
    public SearchResult search(SearchParam param) {
        SearchResult result = null;
        // 1、用java动态构建 DSL 语句  178集

        // 1、准备检索请求
        SearchRequest searchRequest = buildSearchRequest(param);
        try {
            // 2、执行检索请求
            SearchResponse response = client.search(searchRequest, MallElasticSearchConfig.COMMON_OPTIONS);

            // 3、分析响应数据封装成我们需要的格式
            result = buildSearchResult(response,param);
        } catch (IOException e) {
            e.printStackTrace();
        }
        return result;
    }

    /**
     * 准备检索请求  181 集
     * 模糊匹配，过滤，（按照属性，分类，品牌，价格区间，库存），排序，分页，高亮，聚合分析
     * @return
     */
    private SearchRequest buildSearchRequest(SearchParam param) {
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();

        /**
         * 模糊匹配，过滤，（按照属性，分类，品牌，价格区间，库存）
         */
         // 1、构建 bool -query
        BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
        // 1.1、must 模糊查询
        if(!StringUtils.isEmpty(param.getKeyword())){
            boolQuery.must(QueryBuilders.matchQuery("skuTitle",param.getKeyword()));
        }
        // 1.2 、bool - filter 按照三级分类id查询
        if (param.getCatalog3Id() != null){
            boolQuery.filter(QueryBuilders.termQuery("catalogId",param.getCatalog3Id()));
        }
        // 1.2、bool - filter 按照品牌id 查询
        if (param.getBrandId() != null && param.getBrandId().size() > 0){
            boolQuery.filter(QueryBuilders.termQuery("brandId",param.getBrandId()));
        }
        // 1.2、bool - filter 按照所有指定属性进行 查询
        if (param.getAttrs() != null && param.getAttrs().size() > 0){
            for (String attrStr : param.getAttrs()) {
                // attrs=1_5寸:8寸&attrs=2_16G:8G
                BoolQueryBuilder nestedboolQuery = QueryBuilders.boolQuery();
                // attr = 1_5寸:寸
                String[] s = attrStr.split("_");
                String attrId = s[0]; // 检索的属性 id
                String[] attrValues = s[1].split(":"); // 这个属性的检索用的值
                nestedboolQuery.must(QueryBuilders.termsQuery("attrs.attrId",attrId));
                nestedboolQuery.must(QueryBuilders.termsQuery("attrs.attrValue",attrValues));
                // 每一个必须都得生成一个nested查询
                NestedQueryBuilder nestedQuery = QueryBuilders.nestedQuery("attrs",nestedboolQuery, ScoreMode.None);
                boolQuery.filter(nestedQuery);
            }
        }

        // 1.2、bool - filter 按照是否有库存 查询
        if(param.getHasStock() != null){
            boolQuery.filter(QueryBuilders.termQuery("hasStock",param.getHasStock()==1));
        }
        //boolQuery.filter(QueryBuilders.termQuery("hasStock",param.getHasStock()==1));

        // 1.2、bool - filter 按照价格区间 查询
        if (!StringUtils.isEmpty(param.getSkuPrice())){
            // 1_500/_500/500_
            RangeQueryBuilder rangeQuery = QueryBuilders.rangeQuery(param.getSkuPrice());
            String[] s = param.getSkuPrice().split("_");
            if (s.length == 2){
                rangeQuery.gte(s[0]).lte(s[1]);
            }else if(s.length == 1){
                if (param.getSkuPrice().startsWith("_")){
                    rangeQuery.lte(s[0]);
                }
                if(param.getSkuPrice().endsWith("_")){
                    rangeQuery.gte(s[0]);
                }
            }
            boolQuery.filter(rangeQuery);
        }

        // 把以前的所有条件拿来进行封装
        sourceBuilder.query(boolQuery);
        /**
         * 排序，分页，高亮，聚合分析
         */
        // 2、1排序
        if (!StringUtils.isEmpty(param.getSort())){
            String sort = param.getSort();
            // sort=hotScore_asc/desc
            String[] s = sort.split("_");
            SortOrder order = s[1].equalsIgnoreCase("asc")?SortOrder.ASC:SortOrder.DESC;
            sourceBuilder.sort(s[0],order);
        }
        // 2、2分页
        // pageNum:1  from:0 size:5
        // pageNum:2 from:5 size:5
        // from = (pageNum-1)*size

        sourceBuilder.from((param.getPageNum()-1)* ESConstant.PRODUCT_PAGESIZE);
        sourceBuilder.size( ESConstant.PRODUCT_PAGESIZE);

        // 2、3 高亮
        if(!StringUtils.isEmpty(param.getKeyword())){
            HighlightBuilder builder = new HighlightBuilder();
            builder.field("skuTitle");
            builder.preTags("<b style='color:red'>");
            builder.postTags("</b>");
            sourceBuilder.highlighter(builder);
        }

        // 聚合分析
        // 1、品牌聚合
        TermsAggregationBuilder brand_agg = AggregationBuilders.terms("brand_agg");
        brand_agg.field("brandId").size(50);
        // 品牌聚合的子聚合
        brand_agg.subAggregation(AggregationBuilders.terms("brand_name_agg").field("brandName").size(1));
        brand_agg.subAggregation(AggregationBuilders.terms("brand_img_agg").field("brandImg").size(1));
        sourceBuilder.aggregation(brand_agg);

        // 2、分类聚合
        TermsAggregationBuilder catalog_agg = AggregationBuilders.terms("catalog_agg").field("catalog").size(2);
        catalog_agg.subAggregation(AggregationBuilders.terms("catalog_name_agg").field("catalogName").size(1));
        sourceBuilder.aggregation(catalog_agg);

        // 3、属性聚合 attr_agg
        NestedAggregationBuilder attr_agg = AggregationBuilders.nested("attr_agg", "attrs");
        // 聚合当前所有attrId
        TermsAggregationBuilder attr_id_agg = AggregationBuilders.terms("attr_id_agg").field("attrs.attrId");
        // 聚合分析出当前 attr_id 的名字
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_name_agg").field("attrs.attrName").size(50));
        // 所有attrId可能的属性值 attrValue
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_value_agg").field("attrs.attrValue").size(50));
        // 小聚合放在大聚合里面
        attr_agg.subAggregation(attr_id_agg);
        sourceBuilder.aggregation(attr_agg);


        String s = sourceBuilder.toString();
        System.out.println("构架的DSL"+s);

        SearchRequest request = new SearchRequest(new String[]{ESConstant.PRODUCT_INDEX},sourceBuilder);
        return request;
    }

    /**
     * 构建结果数据
     * @return
     */
    private SearchResult buildSearchResult(SearchResponse response,SearchParam param) {

        SearchResult result = new SearchResult();
        // 1、返回的所有查询到的商品
        SearchHits hits = response.getHits();
        List<SkuEsModel> esModels = new ArrayList<>();
        if (hits.getHits() != null && hits.getHits().length > 0){
            for (SearchHit hit : hits.getHits()) {
                String sourceAsString = hit.getSourceAsString();
                SkuEsModel skuEsModel = JSON.parseObject(sourceAsString, SkuEsModel.class);
                if (!StringUtils.isEmpty(param.getKeyword())){
                    HighlightField skuTitle = hit.getHighlightFields().get("skuTitle");
                    String string = skuTitle.getFragments()[0].string();
                    skuEsModel.setSkuTitle(string);
                }
                esModels.add(skuEsModel);
            }
        }
        result.setProducts(esModels);
        // 2、当前所有商品涉及到的所有属性信息
        List<SearchResult.AttrVo> attrVos = new ArrayList<>();
        ParsedNested attr_agg = response.getAggregations().get("attr_agg");
        ParsedLongTerms attr_id_agg = attr_agg.getAggregations().get("attr_id_agg");
        for (Terms.Bucket bucket : attr_id_agg.getBuckets()) {
            SearchResult.AttrVo attrVo = new SearchResult.AttrVo();
            // 1、获取属性id
            long attrId = bucket.getKeyAsNumber().longValue();
            // 2、得到属性的名字
            String attrName = ((ParsedStringTerms) bucket.getAggregations().get("attr_name_agg")).getBuckets().get(0).getKeyAsString();
            // 3、得到属性的所有值
            List<String> attrValue = ((ParsedStringTerms) bucket.getAggregations().get("attr_value_agg")).getBuckets().stream().map(item -> {
                String keyAsString = ((Terms.Bucket) item).getKeyAsString();
                return keyAsString;
            }).collect(Collectors.toList());
            attrVo.setAttrId(attrId);
            attrVo.setAttrName(attrName);
            attrVo.setAttrValue(attrValue);
            attrVos.add(attrVo);
        }
        result.setAttrs(attrVos);

        //3、当前所有商品涉及到的所有品牌信息
        List<SearchResult.BrandVo> brandVos = new ArrayList<>();
        ParsedLongTerms brand_agg = response.getAggregations().get("brand_agg");
        for (Terms.Bucket bucket : brand_agg.getBuckets()) {
            SearchResult.BrandVo brandVo = new SearchResult.BrandVo();
            //1、得到品牌 id
            long brandId = bucket.getKeyAsNumber().longValue();
            //2、得到品牌名
            String brandName = ((ParsedStringTerms) (bucket.getAggregations().get("brand_name_agg"))).getBuckets().get(0).getKeyAsString();
            // 3、得到品牌图片
            String brandImg = ((ParsedStringTerms) bucket.getAggregations().get("brand_img_agg")).getBuckets().get(0).getKeyAsString();
            brandVo.setBrandId(brandId);
            brandVo.setBrandImg(brandImg);
            brandVo.setBrandName(brandName);
            brandVos.add(brandVo);
        }
        result.setBrands(brandVos);
        // 4、当前所有商品涉及到的所有分类信息 183集dug模式
        ParsedStringTerms catalog_agg = response.getAggregations().get("catalog_agg");
        List<SearchResult.CatalogVo> catalogVos  = new ArrayList<>();
        List<? extends Terms.Bucket> buckets = catalog_agg.getBuckets();
        for (Terms.Bucket bucket : buckets) {
            SearchResult.CatalogVo catalogVo = new SearchResult.CatalogVo();
            // 得到分类id
            String keyAsString = bucket.getKeyAsString();
            catalogVo.setCatalogId(Long.parseLong(keyAsString));
            // 得到分类名
            ParsedStringTerms catalog_name_agg = bucket.getAggregations().get("catalog_name_agg");
            String catalog_name = catalog_name_agg.getBuckets().get(0).getKeyAsString();
            catalogVo.setCatalogName(catalog_name);
            catalogVos.add(catalogVo);
        }
        result.setCatalogs(catalogVos);
        // 以上从聚合信息中获取
        // 5、分页信息-页码
        result.setPageNum(param.getPageNum());
        // 5、分页信息-总记录数
        long total = hits.getTotalHits().value;
        result.setTotal(total);
        // 3、分页信息-总页码
        int totalPages = (int)total%ESConstant.PRODUCT_PAGESIZE == 0?(int)total/ESConstant.PRODUCT_PAGESIZE:(int)(total/ESConstant.PRODUCT_PAGESIZE+1);
        result.setTotalPages(totalPages);
        System.out.println(result.toString());
        System.out.println("-----------分析结果结束--------");
        return result;
    }

}